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Expert systems with applications, ISSN 0957-4174, 12/2020, Volume 160, p. 113659
....•The experiments were conducted on a benchmark collection of articles.•The proposed approach performed better than classification and summarization methods... 
Highlight extraction | Regression models | Extractive summarization | Text mining and analytics
Journal Article
Information processing & management, ISSN 0306-4573, 11/2020, Volume 57, Issue 6, p. 102341
•An unsupervised, language independent framework for generic extractive multi-document summarization... 
Language-independent Approach | Sentence Expansion | Word Embedding | Multi-document Extractive Summarization | Conceptual Density Tuning | Text Clustering
Journal Article
Information processing & management, ISSN 0306-4573, 11/2020, Volume 57, Issue 6, p. 102264
•Proposing a graph-based framework for extractive single-document summarization.•Combining a set of extractive methods to benefit from their advantages... 
Automatic text summarization | Extractive text summarization | EdgeSumm | Single-document summarization | Graph representation model
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 08/2020, Volume 152, p. 113392
•Introducing a deep architecture that computes a sub modular function.•Proof of properties of the proposed architecture.•Introducing an extractive summarizer... 
Deep learning | Multi-document summarization | Submodularity | Extractive document summarization | Deep submodular network | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | NEURAL-NETWORKS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Knowledge-based systems, ISSN 0950-7051, 07/2020, Volume 199, p. 105964
In recent years, the performance of deep neural network in extractive summarization task has been improved significantly compared with traditional methods... 
Document representation | Extractive biomedical summarization | Fine-tuning | Pre-trained language model | TEXT | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC), 03/2020, pp. 535 - 538
Due to the plethora of data available today, text summarization has become very essential to gain just the right amount of information from huge texts... 
Natural Language Processing(NLP) | Abstractive(ABS) and Extractive(EXT) method | Machine Learning(ML) | Neural Network(NN)
Conference Proceeding
2020 International Conference on Inventive Computation Technologies (ICICT), 02/2020, pp. 113 - 116
.... are some sources from where text arises. There are two ways of summarization (SUMZ): abstractive (ABSR) and extractive (EXTR). It can be achieved using various methods like deep learning... 
Abstractive (ABSR) Methods | Text SUMZ | Extractive (EXTR) Methods | Sentiment (SEN) Analysis
Conference Proceeding
Journal of intelligent & fuzzy systems, ISSN 1064-1246, 2020, Volume 38, Issue 5, pp. 5579 - 5588
Currently, each person produces 1.7MB of information every second in different formats. However, the vast majority of information is text. This has increased... 
sentence scoring | extractive summaries | Text summarization | feature selection | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | neural networks | Scientific papers | Neural networks
Journal Article
Egyptian Informatics Journal, ISSN 1110-8665, 01/2020
We propose a novel methodology for extractive, generic summarization of text documents... 
Extractive text summarization | Graph-based document summarization | Graph independent set | Generic document summarization | Multi document text summarization
Journal Article
by Zeng, BQ and Xu, RY and Yang, H and Gan, ZB and Zhou, W
APPLIED SCIENCES-BASEL, ISSN 2076-3417, 03/2020, Volume 10, Issue 5, p. 1864
.... In this work, the self-matching mechanism is incorporated into the extractive summarization system at the encoder side, which allows the encoder to optimize the encoding information at the global... 
deep learning | PHYSICS, APPLIED | ENGINEERING, MULTIDISCIPLINARY | document summarization | MATERIALS SCIENCE, MULTIDISCIPLINARY | CHEMISTRY, MULTIDISCIPLINARY | extractive summarization | Deep learning | Datasets | Matching | Coders | Statistical analysis | Neural networks | Semantics | Linear programming | Mathematical models
Journal Article
Procedia computer science, ISSN 1877-0509, 2020, Volume 167, pp. 138 - 146
.... Advances in automatic text summarization using deep learning technique is prime focus of research now a days... 
Extractive Text Summarization | Paraphrase Detection | Deep Learning | Natural Language Processing
Journal Article
Information and software technology, ISSN 0950-5849, 2020, Volume 118, p. 106196
Context: When entering an unfamiliar domain, organizations usually have to invest significant time and effort performing domain analysis with the purpose of... 
Domain reference model | Extractive text summarization | Requirements discovery | Documents ranking | COMPUTER SCIENCE, SOFTWARE ENGINEERING | KAPPA | KNOWLEDGE | COMPUTER SCIENCE, INFORMATION SYSTEMS | AGREEMENT
Journal Article
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, ISSN 1300-0632, 2020, Volume 28, Issue 2, pp. 850 - 864
.... Therefore, to reduce the time spent on searching, research on automatic text summarization has gained importance... 
Event-based summarization | event extraction | SINGLE | DOCUMENT | feature selection | single-text summarization | extractive summarization | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Expert systems with applications, ISSN 0957-4174, 2020, Volume 143, p. 112958
•Paper proposes using semantics as feature for text summarization.•Results prove that using semantics as feature improves system performance... 
Extractive summarization | Semantic summarization | Distributional semantics | Text summarization | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Semantics | Summaries
Journal Article
2019 International Conference on contemporary Computing and Informatics (IC3I), 12/2019, pp. 252 - 255
Everyday large volume of data is gathered from different sources and are stored since they contain valuable piece of information. The storage of data must be... 
machine Learning | similarity measures | topic modelling | lDA | text Summarization | ranking | Extractive methods | text Rank
Conference Proceeding
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 10/2019, pp. 431 - 436
We address extractive summarization of technical documents in the oil and gas industry, a major and urgent task due to the large volume of critical reports in that industry... 
Measurement | Oils | Coherence | Natural Language Processing | Natural gas industry | Extractive Summarization | Data mining | Task analysis | Automatic Text Summarization | Optimization
Conference Proceeding
2019 International Conference on Promising Electronic Technologies (ICPET), 10/2019, pp. 96 - 101
High accuracy models for automatic text summarization are increasingly required due to the overwhelming growth of available text on the internet... 
Fuzzy logic | Self-organizing feature maps | Sentences Clustering | Redundancy | Semantics | Natural languages | Extractive Text Summarization | Feature extraction | Graph-based representation | Mathematical model | Automatic Text Summarization
Conference Proceeding
2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS), 10/2019, pp. 204 - 210
.... This paper reviews the most recent extractive text summarization approaches that are based on deep learning techniques... 
Convolutional Neural Network | Recurrent neural networks | Attention Mechanizm | Variation Auto-Encoder; LSTM | Decoding | GRU | Deep learning | Training | Semantics | Recurrent Neural Network | Restricted Boltzmann Machine | Feature extraction | Extractive text summarization | ROUGE
Conference Proceeding
2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA), 09/2019, pp. 1 - 5
... by. In this paper, we investigate an approach to update Indonesian Wikipedia articles, specifically in person biography domain, automatically by practicing extractive summarization of information drawn... 
biography | update article | extractive summarization
Conference Proceeding
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